Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	193404
Missing cells	555626
Missing cells (%)	13.7%
Duplicate rows	256
Duplicate rows (%)	0.1%
Total size in memory	101.6 MiB
Average record size in memory	551.1 B

Variable types

NUM	11
CAT	9
BOOL	1

Warnings

Dataset has 256 (0.1%) duplicate rows	Duplicates
`batsman` has a high cardinality: 546 distinct values	High cardinality
`non_striker` has a high cardinality: 541 distinct values	High cardinality
`bowler` has a high cardinality: 437 distinct values	High cardinality
`player_dismissed` has a high cardinality: 507 distinct values	High cardinality
`fielder` has a high cardinality: 507 distinct values	High cardinality
`total_runs` is highly correlated with `batsman_runs`	High correlation
`batsman_runs` is highly correlated with `total_runs`	High correlation
`player_dismissed` has 184357 (95.3%) missing values	Missing
`dismissal_kind` has 184357 (95.3%) missing values	Missing
`fielder` has 186906 (96.6%) missing values	Missing
`bye_runs` is highly skewed (γ1 = 30.46379722)	Skewed
`noball_runs` is highly skewed (γ1 = 34.78726606)	Skewed
`wide_runs` has 187537 (97.0%) zeros	Zeros
`bye_runs` has 192898 (99.7%) zeros	Zeros
`legbye_runs` has 190292 (98.4%) zeros	Zeros
`noball_runs` has 192640 (99.6%) zeros	Zeros
`batsman_runs` has 76062 (39.3%) zeros	Zeros
`extra_runs` has 183154 (94.7%) zeros	Zeros
`total_runs` has 67527 (34.9%) zeros	Zeros

Reproduction

Analysis started	2020-12-21 07:05:58.719678
Analysis finished	2020-12-21 07:07:16.679575
Duration	1 minute and 17.96 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

match_id
Real number (ℝ_≥0)

Distinct	816
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	91884.46912
Minimum	1
Maximum	1237181
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	41
Q1	205
median	408
Q3	613
95-th percentile	1216511
Maximum	1237181
Range	1237180
Interquartile range (IQR)	408

Descriptive statistics

Standard deviation	318512.9064
Coefficient of variation (CV)	3.466449874
Kurtosis	8.579006802
Mean	91884.46912
Median Absolute Deviation (MAD)	204
Skewness	3.252235282
Sum	1.777082387e+10
Variance	1.014504715e+11
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1216498	466	0.2%
126	267	0.1%
34	263	0.1%
534	262	0.1%
476	262	0.1%
388	261	0.1%
570	259	0.1%
190	259	0.1%
536	258	0.1%
401	258	0.1%
11146	257	0.1%
1216517	257	0.1%
211	257	0.1%
257	257	0.1%
11339	257	0.1%
516	257	0.1%
367	256	0.1%
567	256	0.1%
153	255	0.1%
50	255	0.1%
539	255	0.1%
553	255	0.1%
196	255	0.1%
67	255	0.1%
488	255	0.1%
Other values (791)	186750	96.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	248	0.1%
2	247	0.1%
3	218	0.1%
4	247	0.1%
5	248	0.1%
6	216	0.1%
7	254	0.1%
8	212	0.1%
9	226	0.1%
10	239	0.1%

Value	Count	Frequency (%)
1237181	235	0.1%
1237180	250	0.1%
1237178	247	0.1%
1237177	247	0.1%
1216547	251	0.1%
1216546	235	0.1%
1216545	230	0.1%
1216544	234	0.1%
1216543	242	0.1%
1216542	216	0.1%

inning
Real number (ℝ_≥0)

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.483159604
Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2
Maximum	5
Range	4
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.5019063714
Coefficient of variation (CV)	0.3384034801
Kurtosis	-1.768127923
Mean	1.483159604
Median Absolute Deviation (MAD)	0
Skewness	0.1105838407
Sum	286849
Variance	0.2519100057
Monotocity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
1	100109	51.8%
2	93199	48.2%
3	50	< 0.1%
4	38	< 0.1%
5	8	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	100109	51.8%
2	93199	48.2%
3	50	< 0.1%
4	38	< 0.1%
5	8	< 0.1%

Value	Count	Frequency (%)
5	8	< 0.1%
4	38	< 0.1%
3	50	< 0.1%
2	93199	48.2%
1	100109	51.8%

batting_team
Categorical

Distinct	23
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Mumbai Indians	22619
Kings XI Punjab	20931
Royal Challengers Bangalore	20908
Kolkata Knight Riders	20858
Chennai Super Kings	19762
Other values (18)	88326

Common Values
Overview

Value	Count	Frequency (%)
Mumbai Indians	22619	11.7%
Kings XI Punjab	20931	10.8%
Royal Challengers Bangalore	20908	10.8%
Kolkata Knight Riders	20858	10.8%
Chennai Super Kings	19762	10.2%
Delhi Daredevils	18786	9.7%
Rajasthan Royals	17292	8.9%
Sunrisers Hyderabad	12908	6.7%
Deccan Chargers	9034	4.7%
Pune Warriors	5443	2.8%
Gujarat Lions	3566	1.8%
DC	2042	1.1%
SRH	1988	1.0%
Delhi Capitals	1909	1.0%
Rising Pune Supergiant	1900	1.0%
MI	1829	0.9%
KXIP	1785	0.9%
RCB	1772	0.9%
CSK	1651	0.9%
KKR	1650	0.9%
RR	1609	0.8%
Kochi Tuskers Kerala	1582	0.8%
Rising Pune Supergiants	1580	0.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	27
Median length	16
Mean length	16.85362764
Min length	2

Overview of Unicode Properties

Unique unicode characters	37
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	366154	11.2%
n	267743	8.2%
	266599	8.2%
e	240824	7.4%
i	222738	6.8%
s	212440	6.5%
r	184553	5.7%
l	164754	5.1%
g	119361	3.7%
h	110131	3.4%
u	93771	2.9%
K	92309	2.8%
o	90557	2.8%
R	88458	2.7%
d	88079	2.7%
t	67963	2.1%
C	57078	1.8%
b	56458	1.7%
y	51108	1.6%
D	50557	1.6%
I	47164	1.4%
j	41789	1.3%
S	39789	1.2%
P	31639	1.0%
p	25151	0.8%
Other values (12)	182392	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2487069	76.3%
Uppercase Letter	505891	15.5%
Space Separator	266599	8.2%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
K	92309	18.2%
R	88458	17.5%
C	57078	11.3%
D	50557	10.0%
I	47164	9.3%
S	39789	7.9%
P	31639	6.3%
M	24448	4.8%
X	22716	4.5%
B	22680	4.5%
H	14896	2.9%
W	5443	1.1%
G	3566	0.7%
L	3566	0.7%
T	1582	0.3%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	366154	14.7%
n	267743	10.8%
e	240824	9.7%
i	222738	9.0%
s	212440	8.5%
r	184553	7.4%
l	164754	6.6%
g	119361	4.8%
h	110131	4.4%
u	93771	3.8%
o	90557	3.6%
d	88079	3.5%
t	67963	2.7%
b	56458	2.3%
y	51108	2.1%
j	41789	1.7%
p	25151	1.0%
m	22619	0.9%
k	22440	0.9%
c	19650	0.8%
v	18786	0.8%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	266599	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2992960	91.8%
Common	266599	8.2%

Most frequent Latin characters

Value	Count	Frequency (%)
a	366154	12.2%
n	267743	8.9%
e	240824	8.0%
i	222738	7.4%
s	212440	7.1%
r	184553	6.2%
l	164754	5.5%
g	119361	4.0%
h	110131	3.7%
u	93771	3.1%
K	92309	3.1%
o	90557	3.0%
R	88458	3.0%
d	88079	2.9%
t	67963	2.3%
C	57078	1.9%
b	56458	1.9%
y	51108	1.7%
D	50557	1.7%
I	47164	1.6%
j	41789	1.4%
S	39789	1.3%
P	31639	1.1%
p	25151	0.8%
M	24448	0.8%
Other values (11)	157944	5.3%

Most frequent Common characters

Value	Count	Frequency (%)
	266599	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3259559	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	366154	11.2%
n	267743	8.2%
	266599	8.2%
e	240824	7.4%
i	222738	6.8%
s	212440	6.5%
r	184553	5.7%
l	164754	5.1%
g	119361	3.7%
h	110131	3.4%
u	93771	2.9%
K	92309	2.8%
o	90557	2.8%
R	88458	2.7%
d	88079	2.7%
t	67963	2.1%
C	57078	1.8%
b	56458	1.7%
y	51108	1.6%
D	50557	1.6%
I	47164	1.4%
j	41789	1.3%
S	39789	1.2%
P	31639	1.0%
p	25151	0.8%
Other values (12)	182392	5.6%

bowling_team
Categorical

Distinct	23
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Mumbai Indians	22517
Royal Challengers Bangalore	21236
Kolkata Knight Riders	20940
Kings XI Punjab	20782
Chennai Super Kings	19556
Other values (18)	88373

Common Values
Overview

Value	Count	Frequency (%)
Mumbai Indians	22517	11.6%
Royal Challengers Bangalore	21236	11.0%
Kolkata Knight Riders	20940	10.8%
Kings XI Punjab	20782	10.7%
Chennai Super Kings	19556	10.1%
Delhi Daredevils	18725	9.7%
Rajasthan Royals	17382	9.0%
Sunrisers Hyderabad	12779	6.6%
Deccan Chargers	9039	4.7%
Pune Warriors	5457	2.8%
Gujarat Lions	3545	1.8%
SRH	1999	1.0%
DC	1996	1.0%
Delhi Capitals	1963	1.0%
Rising Pune Supergiant	1928	1.0%
MI	1899	1.0%
RCB	1759	0.9%
KXIP	1753	0.9%
RR	1688	0.9%
CSK	1619	0.8%
Rising Pune Supergiants	1615	0.8%
Kochi Tuskers Kerala	1614	0.8%
KKR	1613	0.8%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	27
Median length	16
Mean length	16.87265517
Min length	2

Overview of Unicode Properties

Unique unicode characters	37
Unique unicode categories	3 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	367329	11.3%
n	267509	8.2%
	266749	8.2%
e	241305	7.4%
i	222208	6.8%
s	212468	6.5%
r	184795	5.7%
l	166256	5.1%
g	119875	3.7%
h	110455	3.4%
u	93336	2.9%
K	92044	2.8%
o	91410	2.8%
R	89230	2.7%
d	87740	2.7%
t	68313	2.1%
C	57168	1.8%
b	56078	1.7%
y	51397	1.6%
D	50448	1.5%
I	46951	1.4%
j	41709	1.3%
S	39496	1.2%
P	31535	1.0%
p	25062	0.8%
Other values (12)	182373	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2490733	76.3%
Uppercase Letter	505757	15.5%
Space Separator	266749	8.2%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
K	92044	18.2%
R	89230	17.6%
C	57168	11.3%
D	50448	10.0%
I	46951	9.3%
S	39496	7.8%
P	31535	6.2%
M	24416	4.8%
B	22995	4.5%
X	22535	4.5%
H	14778	2.9%
W	5457	1.1%
G	3545	0.7%
L	3545	0.7%
T	1614	0.3%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	367329	14.7%
n	267509	10.7%
e	241305	9.7%
i	222208	8.9%
s	212468	8.5%
r	184795	7.4%
l	166256	6.7%
g	119875	4.8%
h	110455	4.4%
u	93336	3.7%
o	91410	3.7%
d	87740	3.5%
t	68313	2.7%
b	56078	2.3%
y	51397	2.1%
j	41709	1.7%
p	25062	1.0%
k	22554	0.9%
m	22517	0.9%
c	19692	0.8%
v	18725	0.8%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	266749	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2996490	91.8%
Common	266749	8.2%

Most frequent Latin characters

Value	Count	Frequency (%)
a	367329	12.3%
n	267509	8.9%
e	241305	8.1%
i	222208	7.4%
s	212468	7.1%
r	184795	6.2%
l	166256	5.5%
g	119875	4.0%
h	110455	3.7%
u	93336	3.1%
K	92044	3.1%
o	91410	3.1%
R	89230	3.0%
d	87740	2.9%
t	68313	2.3%
C	57168	1.9%
b	56078	1.9%
y	51397	1.7%
D	50448	1.7%
I	46951	1.6%
j	41709	1.4%
S	39496	1.3%
P	31535	1.1%
p	25062	0.8%
M	24416	0.8%
Other values (11)	157957	5.3%

Most frequent Common characters

Value	Count	Frequency (%)
	266749	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3263239	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	367329	11.3%
n	267509	8.2%
	266749	8.2%
e	241305	7.4%
i	222208	6.8%
s	212468	6.5%
r	184795	5.7%
l	166256	5.1%
g	119875	3.7%
h	110455	3.4%
u	93336	2.9%
K	92044	2.8%
o	91410	2.8%
R	89230	2.7%
d	87740	2.7%
t	68313	2.1%
C	57168	1.8%
b	56078	1.7%
y	51397	1.6%
D	50448	1.5%
I	46951	1.4%
j	41709	1.3%
S	39496	1.2%
P	31535	1.0%
p	25062	0.8%
Other values (12)	182373	5.6%

over
Real number (ℝ_≥0)

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.16503795
Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	19
Maximum	20
Range	19
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.678812928
Coefficient of variation (CV)	0.5586612618
Kurtosis	-1.183427499
Mean	10.16503795
Median Absolute Deviation (MAD)	5
Skewness	0.04821941158
Sum	1965959
Variance	32.24891627
Monotocity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1	10396	5.4%
2	10251	5.3%
3	10153	5.2%
4	10112	5.2%
5	10084	5.2%
6	10064	5.2%
7	10020	5.2%
8	9993	5.2%
9	9958	5.1%
10	9914	5.1%
11	9854	5.1%
12	9822	5.1%
13	9803	5.1%
14	9698	5.0%
15	9623	5.0%
16	9459	4.9%
17	9345	4.8%
18	9061	4.7%
19	8497	4.4%
20	7297	3.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	10396	5.4%
2	10251	5.3%
3	10153	5.2%
4	10112	5.2%
5	10084	5.2%
6	10064	5.2%
7	10020	5.2%
8	9993	5.2%
9	9958	5.1%
10	9914	5.1%

Value	Count	Frequency (%)
20	7297	3.8%
19	8497	4.4%
18	9061	4.7%
17	9345	4.8%
16	9459	4.9%
15	9623	5.0%
14	9698	5.0%
13	9803	5.1%
12	9822	5.1%
11	9854	5.1%

ball
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.615638767
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	5
95-th percentile	6
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.807174232
Coefficient of variation (CV)	0.4998215664
Kurtosis	-1.081527294
Mean	3.615638767
Median Absolute Deviation (MAD)	2
Skewness	0.09665574213
Sum	699279
Variance	3.265878704
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	31377	16.2%
2	31272	16.2%
3	31187	16.1%
4	31124	16.1%
5	31014	16.0%
6	30915	16.0%
7	5515	2.9%
8	865	0.4%
9	134	0.1%
10	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	31377	16.2%
2	31272	16.2%
3	31187	16.1%
4	31124	16.1%
5	31014	16.0%
6	30915	16.0%
7	5515	2.9%
8	865	0.4%
9	134	0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
9	134	0.1%
8	865	0.4%
7	5515	2.9%
6	30915	16.0%
5	31014	16.0%
4	31124	16.1%
3	31187	16.1%
2	31272	16.2%
1	31377	16.2%

batsman
Categorical

HIGH CARDINALITY

Distinct	546
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

V Kohli	4604
S Dhawan	4201
RG Sharma	4081
SK Raina	4044
DA Warner	3831
Other values (541)	172643

Common Values
Overview

Value	Count	Frequency (%)
V Kohli	4604	2.4%
S Dhawan	4201	2.2%
RG Sharma	4081	2.1%
SK Raina	4044	2.1%
DA Warner	3831	2.0%
RV Uthappa	3652	1.9%
G Gambhir	3524	1.8%
MS Dhoni	3487	1.8%
CH Gayle	3373	1.7%
AM Rahane	3326	1.7%
AB de Villiers	3265	1.7%
KD Karthik	3020	1.6%
AT Rayudu	2964	1.5%
SR Watson	2889	1.5%
MK Pandey	2794	1.4%
PA Patel	2444	1.3%
YK Pathan	2334	1.2%
JH Kallis	2291	1.2%
BB McCullum	2272	1.2%
Yuvraj Singh	2207	1.1%
M Vijay	2206	1.1%
KA Pollard	2118	1.1%
SR Tendulkar	2044	1.1%
KL Rahul	2016	1.0%
SV Samson	1962	1.0%
Other values (521)	118455	61.2%

Frequencies of value counts

Unique

Unique	13 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	20
Median length	9
Mean length	9.317325391
Min length	5

Overview of Unicode Properties

Unique unicode characters	54
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
	203137	11.3%
a	199495	11.1%
i	87774	4.9%
n	83911	4.7%
h	81454	4.5%
r	77592	4.3%
S	73581	4.1%
e	73196	4.1%
l	68487	3.8%
s	48318	2.7%
R	47367	2.6%
A	45074	2.5%
M	44989	2.5%
K	44415	2.5%
o	41260	2.3%
t	40479	2.2%
d	39106	2.2%
P	38129	2.1%
u	37540	2.1%
D	37280	2.1%
y	34696	1.9%
m	30832	1.7%
J	26184	1.5%
G	25532	1.4%
V	24413	1.4%
Other values (29)	247767	13.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1050493	58.3%
Uppercase Letter	548146	30.4%
Space Separator	203137	11.3%
Dash Punctuation	232	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	73581	13.4%
R	47367	8.6%
A	45074	8.2%
M	44989	8.2%
K	44415	8.1%
P	38129	7.0%
D	37280	6.8%
J	26184	4.8%
G	25532	4.7%
V	24413	4.5%
B	21705	4.0%
C	21452	3.9%
H	20025	3.7%
T	15762	2.9%
W	11882	2.2%
L	11059	2.0%
Y	8196	1.5%
N	8112	1.5%
E	5512	1.0%
F	5044	0.9%
U	4444	0.8%
I	4176	0.8%
O	2012	0.4%
Q	1600	0.3%
Z	184	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	203137	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	199495	19.0%
i	87774	8.4%
n	83911	8.0%
h	81454	7.8%
r	77592	7.4%
e	73196	7.0%
l	68487	6.5%
s	48318	4.6%
o	41260	3.9%
t	40479	3.9%
d	39106	3.7%
u	37540	3.6%
y	34696	3.3%
m	30832	2.9%
w	18045	1.7%
g	17824	1.7%
k	17093	1.6%
p	12682	1.2%
j	9803	0.9%
v	9193	0.9%
c	9154	0.9%
b	8480	0.8%
x	1290	0.1%
f	986	0.1%
q	937	0.1%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1598639	88.7%
Common	203369	11.3%

Most frequent Latin characters

Value	Count	Frequency (%)
a	199495	12.5%
i	87774	5.5%
n	83911	5.2%
h	81454	5.1%
r	77592	4.9%
S	73581	4.6%
e	73196	4.6%
l	68487	4.3%
s	48318	3.0%
R	47367	3.0%
A	45074	2.8%
M	44989	2.8%
K	44415	2.8%
o	41260	2.6%
t	40479	2.5%
d	39106	2.4%
P	38129	2.4%
u	37540	2.3%
D	37280	2.3%
y	34696	2.2%
m	30832	1.9%
J	26184	1.6%
G	25532	1.6%
V	24413	1.5%
B	21705	1.4%
Other values (27)	225830	14.1%

Most frequent Common characters

Value	Count	Frequency (%)
	203137	99.9%
-	232	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1802008	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
	203137	11.3%
a	199495	11.1%
i	87774	4.9%
n	83911	4.7%
h	81454	4.5%
r	77592	4.3%
S	73581	4.1%
e	73196	4.1%
l	68487	3.8%
s	48318	2.7%
R	47367	2.6%
A	45074	2.5%
M	44989	2.5%
K	44415	2.5%
o	41260	2.3%
t	40479	2.2%
d	39106	2.2%
P	38129	2.1%
u	37540	2.1%
D	37280	2.1%
y	34696	1.9%
m	30832	1.7%
J	26184	1.5%
G	25532	1.4%
V	24413	1.4%
Other values (29)	247767	13.7%

non_striker
Categorical

HIGH CARDINALITY

Distinct	541
Distinct (%)	0.3%
Missing	6
Missing (%)	< 0.1%
Memory size	1.5 MiB

S Dhawan	4601
V Kohli	4455
SK Raina	4173
RG Sharma	4132
G Gambhir	3740
Other values (536)	172297

Common Values
Overview

Value	Count	Frequency (%)
S Dhawan	4601	2.4%
V Kohli	4455	2.3%
SK Raina	4173	2.2%
RG Sharma	4132	2.1%
G Gambhir	3740	1.9%
AM Rahane	3573	1.8%
DA Warner	3553	1.8%
RV Uthappa	3543	1.8%
AB de Villiers	3239	1.7%
CH Gayle	3193	1.7%
MS Dhoni	3159	1.6%
AT Rayudu	3089	1.6%
KD Karthik	3061	1.6%
MK Pandey	2934	1.5%
SR Watson	2737	1.4%
PA Patel	2608	1.3%
SR Tendulkar	2427	1.3%
BB McCullum	2356	1.2%
JH Kallis	2333	1.2%
M Vijay	2296	1.2%
YK Pathan	2165	1.1%
KL Rahul	2005	1.0%
Yuvraj Singh	1985	1.0%
F du Plessis	1974	1.0%
SV Samson	1969	1.0%
Other values (516)	118098	61.1%

Frequencies of value counts

Unique

Unique	7 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	20
Median length	9
Mean length	9.318571488
Min length	3

Overview of Unicode Properties

Unique unicode characters	54
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
	203150	11.3%
a	200959	11.2%
i	87485	4.9%
n	83835	4.7%
h	81400	4.5%
r	77396	4.3%
e	73885	4.1%
S	73791	4.1%
l	67981	3.8%
s	48047	2.7%
R	47383	2.6%
M	45674	2.5%
A	44856	2.5%
K	44433	2.5%
o	39817	2.2%
t	39731	2.2%
d	39713	2.2%
u	38006	2.1%
P	37775	2.1%
D	36696	2.0%
y	35253	2.0%
m	30823	1.7%
J	26195	1.5%
G	25883	1.4%
V	24571	1.4%
Other values (29)	247511	13.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1050911	58.3%
Uppercase Letter	547936	30.4%
Space Separator	203150	11.3%
Dash Punctuation	252	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	73791	13.5%
R	47383	8.6%
M	45674	8.3%
A	44856	8.2%
K	44433	8.1%
P	37775	6.9%
D	36696	6.7%
J	26195	4.8%
G	25883	4.7%
V	24571	4.5%
B	21639	3.9%
C	21151	3.9%
H	20104	3.7%
T	16462	3.0%
W	11484	2.1%
L	10978	2.0%
N	7948	1.5%
Y	7673	1.4%
E	5639	1.0%
F	5077	0.9%
I	4409	0.8%
U	4352	0.8%
O	1995	0.4%
Q	1545	0.3%
Z	206	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	203150	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	200959	19.1%
i	87485	8.3%
n	83835	8.0%
h	81400	7.7%
r	77396	7.4%
e	73885	7.0%
l	67981	6.5%
s	48047	4.6%
o	39817	3.8%
t	39731	3.8%
d	39713	3.8%
u	38006	3.6%
y	35253	3.4%
m	30823	2.9%
w	18395	1.8%
g	17669	1.7%
k	17434	1.7%
p	12658	1.2%
j	9669	0.9%
c	9052	0.9%
v	8863	0.8%
b	8854	0.8%
x	1226	0.1%
q	1053	0.1%
f	879	0.1%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	252	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1598847	88.7%
Common	203402	11.3%

Most frequent Latin characters

Value	Count	Frequency (%)
a	200959	12.6%
i	87485	5.5%
n	83835	5.2%
h	81400	5.1%
r	77396	4.8%
e	73885	4.6%
S	73791	4.6%
l	67981	4.3%
s	48047	3.0%
R	47383	3.0%
M	45674	2.9%
A	44856	2.8%
K	44433	2.8%
o	39817	2.5%
t	39731	2.5%
d	39713	2.5%
u	38006	2.4%
P	37775	2.4%
D	36696	2.3%
y	35253	2.2%
m	30823	1.9%
J	26195	1.6%
G	25883	1.6%
V	24571	1.5%
B	21639	1.4%
Other values (27)	225620	14.1%

Most frequent Common characters

Value	Count	Frequency (%)
	203150	99.9%
-	252	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1802249	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
	203150	11.3%
a	200959	11.2%
i	87485	4.9%
n	83835	4.7%
h	81400	4.5%
r	77396	4.3%
e	73885	4.1%
S	73791	4.1%
l	67981	3.8%
s	48047	2.7%
R	47383	2.6%
M	45674	2.5%
A	44856	2.5%
K	44433	2.5%
o	39817	2.2%
t	39731	2.2%
d	39713	2.2%
u	38006	2.1%
P	37775	2.1%
D	36696	2.0%
y	35253	2.0%
m	30823	1.7%
J	26195	1.5%
G	25883	1.4%
V	24571	1.4%
Other values (29)	247511	13.7%

bowler
Categorical

HIGH CARDINALITY

Distinct	437
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

Harbhajan Singh	3451
R Ashwin	3320
PP Chawla	3279
A Mishra	3230
SL Malinga	2974
Other values (432)	177150

Common Values
Overview

Value	Count	Frequency (%)
Harbhajan Singh	3451	1.8%
R Ashwin	3320	1.7%
PP Chawla	3279	1.7%
A Mishra	3230	1.7%
SL Malinga	2974	1.5%
DJ Bravo	2839	1.5%
SP Narine	2826	1.5%
RA Jadeja	2758	1.4%
P Kumar	2721	1.4%
B Kumar	2707	1.4%
UT Yadav	2650	1.4%
DW Steyn	2281	1.2%
Z Khan	2276	1.2%
R Vinay Kumar	2186	1.1%
YS Chahal	2175	1.1%
JJ Bumrah	2165	1.1%
SR Watson	2137	1.1%
IK Pathan	2113	1.1%
I Sharma	1999	1.0%
A Nehra	1974	1.0%
PP Ojha	1945	1.0%
AR Patel	1894	1.0%
Sandeep Sharma	1878	1.0%
RP Singh	1874	1.0%
DS Kulkarni	1850	1.0%
Other values (412)	131902	68.2%

Frequencies of value counts

Unique

Unique	1 ?
Unique (%)	< 0.1%

Histogram of lengths of the category

Length

Max length	17
Median length	9
Mean length	9.495832558
Min length	5

Overview of Unicode Properties

Unique unicode characters	56
Unique unicode categories	7 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
a	235044	12.8%
	199837	10.9%
n	98214	5.3%
r	97807	5.3%
h	95673	5.2%
i	81532	4.4%
e	77948	4.2%
S	71221	3.9%
l	58103	3.2%
M	47437	2.6%
A	45060	2.5%
o	44573	2.4%
t	43127	2.3%
P	43087	2.3%
m	42874	2.3%
s	40755	2.2%
d	39436	2.1%
K	37577	2.0%
u	37385	2.0%
R	36308	2.0%
J	34139	1.9%
B	26551	1.4%
D	23728	1.3%
g	22417	1.2%
C	22012	1.2%
Other values (31)	234687	12.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1124651	61.2%
Uppercase Letter	511221	27.8%
Space Separator	199837	10.9%
Dash Punctuation	748	< 0.1%
Open Punctuation	25	< 0.1%
Decimal Number	25	< 0.1%
Close Punctuation	25	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	71221	13.9%
M	47437	9.3%
A	45060	8.8%
P	43087	8.4%
K	37577	7.4%
R	36308	7.1%
J	34139	6.7%
B	26551	5.2%
D	23728	4.6%
C	22012	4.3%
H	18707	3.7%
T	17299	3.4%
N	14986	2.9%
L	11162	2.2%
V	11069	2.2%
W	10026	2.0%
G	9036	1.8%
Y	8960	1.8%
I	7227	1.4%
U	5510	1.1%
F	2877	0.6%
O	2672	0.5%
Z	2636	0.5%
E	1854	0.4%
Q	80	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	199837	100.0%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
a	235044	20.9%
n	98214	8.7%
r	97807	8.7%
h	95673	8.5%
i	81532	7.2%
e	77948	6.9%
l	58103	5.2%
o	44573	4.0%
t	43127	3.8%
m	42874	3.8%
s	40755	3.6%
d	39436	3.5%
u	37385	3.3%
g	22417	2.0%
k	19810	1.8%
y	15899	1.4%
j	14073	1.3%
w	14055	1.2%
v	13735	1.2%
b	10491	0.9%
p	8925	0.8%
c	6030	0.5%
f	2366	0.2%
z	1962	0.2%
q	1861	0.2%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	748	100.0%

Most frequent Open Punctuation characters

Value	Count	Frequency (%)
(	25	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
2	25	100.0%

Most frequent Close Punctuation characters

Value	Count	Frequency (%)
)	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1635872	89.1%
Common	200660	10.9%

Most frequent Latin characters

Value	Count	Frequency (%)
a	235044	14.4%
n	98214	6.0%
r	97807	6.0%
h	95673	5.8%
i	81532	5.0%
e	77948	4.8%
S	71221	4.4%
l	58103	3.6%
M	47437	2.9%
A	45060	2.8%
o	44573	2.7%
t	43127	2.6%
P	43087	2.6%
m	42874	2.6%
s	40755	2.5%
d	39436	2.4%
K	37577	2.3%
u	37385	2.3%
R	36308	2.2%
J	34139	2.1%
B	26551	1.6%
D	23728	1.5%
g	22417	1.4%
C	22012	1.3%
k	19810	1.2%
Other values (26)	214054	13.1%

Most frequent Common characters

Value	Count	Frequency (%)
	199837	99.6%
-	748	0.4%
(	25	< 0.1%
2	25	< 0.1%
)	25	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1836532	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
a	235044	12.8%
	199837	10.9%
n	98214	5.3%
r	97807	5.3%
h	95673	5.2%
i	81532	4.4%
e	77948	4.2%
S	71221	3.9%
l	58103	3.2%
M	47437	2.6%
A	45060	2.5%
o	44573	2.4%
t	43127	2.3%
P	43087	2.3%
m	42874	2.3%
s	40755	2.2%
d	39436	2.1%
K	37577	2.0%
u	37385	2.0%
R	36308	2.0%
J	34139	1.9%
B	26551	1.4%
D	23728	1.3%
g	22417	1.2%
C	22012	1.2%
Other values (31)	234687	12.8%

is_super_over
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

0	193279
1	125

Common Values
Chart

Value	Count	Frequency (%)
0	193279	99.9%
1	125	0.1%

wide_runs
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.036488387
Minimum	0
Maximum	5
Zeros	187537
Zeros (%)	97.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.2473992732
Coefficient of variation (CV)	6.780219503
Kurtosis	191.7849123
Mean	0.036488387
Median Absolute Deviation (MAD)	0
Skewness	11.58720402
Sum	7057
Variance	0.06120640038
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	187537	97.0%
1	5368	2.8%
2	235	0.1%
5	211	0.1%
3	48	< 0.1%
4	5	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	187537	97.0%
1	5368	2.8%
2	235	0.1%
3	48	< 0.1%
4	5	< 0.1%
5	211	0.1%

Value	Count	Frequency (%)
5	211	0.1%
4	5	< 0.1%
3	48	< 0.1%
2	235	0.1%
1	5368	2.8%
0	187537	97.0%

bye_runs
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.004767223015
Minimum	0
Maximum	4
Zeros	192898
Zeros (%)	99.7%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4
Range	4
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1140485029
Coefficient of variation (CV)	23.92346708
Kurtosis	1016.235729
Mean	0.004767223015
Median Absolute Deviation (MAD)	0
Skewness	30.46379722
Sum	922
Variance	0.01300706101
Monotocity	Not monotonic

Histogram with fixed size bins (bins=5)

Value	Count	Frequency (%)
0	192898	99.7%
1	346	0.2%
4	127	0.1%
2	31	< 0.1%
3	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	192898	99.7%
1	346	0.2%
2	31	< 0.1%
3	2	< 0.1%
4	127	0.1%

Value	Count	Frequency (%)
4	127	0.1%
3	2	< 0.1%
2	31	< 0.1%
1	346	0.2%
0	192898	99.7%

legbye_runs
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.02079584704
Minimum	0
Maximum	5
Zeros	190292
Zeros (%)	98.4%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.1936457844
Coefficient of variation (CV)	9.31175268
Kurtosis	245.4605614
Mean	0.02079584704
Median Absolute Deviation (MAD)	0
Skewness	13.8793515
Sum	4022
Variance	0.0374986898
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	190292	98.4%
1	2703	1.4%
4	234	0.1%
2	150	0.1%
3	21	< 0.1%
5	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	190292	98.4%
1	2703	1.4%
2	150	0.1%
3	21	< 0.1%
4	234	0.1%
5	4	< 0.1%

Value	Count	Frequency (%)
5	4	< 0.1%
4	234	0.1%
3	21	< 0.1%
2	150	0.1%
1	2703	1.4%
0	190292	98.4%

noball_runs
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.004544890488
Minimum	0
Maximum	7
Zeros	192640
Zeros (%)	99.6%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.08523291428
Coefficient of variation (CV)	18.75356832
Kurtosis	1941.740098
Mean	0.004544890488
Median Absolute Deviation (MAD)	0
Skewness	34.78726606
Sum	879
Variance	0.007264649676
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	192640	99.6%
1	717	0.4%
2	23	< 0.1%
5	14	< 0.1%
3	6	< 0.1%
7	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	192640	99.6%
1	717	0.4%
2	23	< 0.1%
3	6	< 0.1%
5	14	< 0.1%
7	4	< 0.1%

Value	Count	Frequency (%)
7	4	< 0.1%
5	14	< 0.1%
3	6	< 0.1%
2	23	< 0.1%
1	717	0.4%
0	192640	99.6%

penalty_runs
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.5 MiB

0	193402
5	2

Value	Count	Frequency (%)
0	193402	> 99.9%
5	2	< 0.1%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Overview of Unicode Properties

Unique unicode characters	2
Unique unicode categories	1 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
0	193402	> 99.9%
5	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	193404	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
0	193402	> 99.9%
5	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	193404	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
0	193402	> 99.9%
5	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	193404	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
0	193402	> 99.9%
5	2	< 0.1%

batsman_runs
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.251375359
Minimum	0
Maximum	7
Zeros	76062
Zeros (%)	39.3%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	4
Maximum	7
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.609800822
Coefficient of variation (CV)	1.28642522
Kurtosis	1.626350135
Mean	1.251375359
Median Absolute Deviation (MAD)	1
Skewness	1.58054888
Sum	242021
Variance	2.591458686
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	76062	39.3%
1	73215	37.9%
4	21997	11.4%
2	12496	6.5%
6	8906	4.6%
3	636	0.3%
5	81	< 0.1%
7	11	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	76062	39.3%
1	73215	37.9%
2	12496	6.5%
3	636	0.3%
4	21997	11.4%
5	81	< 0.1%
6	8906	4.6%
7	11	< 0.1%

Value	Count	Frequency (%)
7	11	< 0.1%
6	8906	4.6%
5	81	< 0.1%
4	21997	11.4%
3	636	0.3%
2	12496	6.5%
1	73215	37.9%
0	76062	39.3%

extra_runs
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.06664805278
Minimum	0
Maximum	7
Zeros	183154
Zeros (%)	94.7%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	7
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3416196934
Coefficient of variation (CV)	5.125726547
Kurtosis	93.48815611
Mean	0.06664805278
Median Absolute Deviation (MAD)	0
Skewness	8.304922399
Sum	12890
Variance	0.1167040149
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	183154	94.7%
1	9134	4.7%
2	438	0.2%
4	366	0.2%
5	230	0.1%
3	77	< 0.1%
7	5	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	183154	94.7%
1	9134	4.7%
2	438	0.2%
3	77	< 0.1%
4	366	0.2%
5	230	0.1%
7	5	< 0.1%

Value	Count	Frequency (%)
7	5	< 0.1%
5	230	0.1%
4	366	0.2%
3	77	< 0.1%
2	438	0.2%
1	9134	4.7%
0	183154	94.7%

total_runs
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.318023412
Minimum	0
Maximum	10
Zeros	67527
Zeros (%)	34.9%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	1
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.60605852
Coefficient of variation (CV)	1.218535654
Kurtosis	1.631821194
Mean	1.318023412
Median Absolute Deviation (MAD)	1
Skewness	1.555653332
Sum	254911
Variance	2.57942397
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	79356	41.0%
0	67527	34.9%
4	22218	11.5%
2	14192	7.3%
6	8884	4.6%
3	748	0.4%
5	357	0.2%
8	64	< 0.1%
7	42	< 0.1%
10	16	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	67527	34.9%
1	79356	41.0%
2	14192	7.3%
3	748	0.4%
4	22218	11.5%
5	357	0.2%
6	8884	4.6%
7	42	< 0.1%
8	64	< 0.1%
10	16	< 0.1%

Value	Count	Frequency (%)
10	16	< 0.1%
8	64	< 0.1%
7	42	< 0.1%
6	8884	4.6%
5	357	0.2%
4	22218	11.5%
3	748	0.4%
2	14192	7.3%
1	79356	41.0%
0	67527	34.9%

player_dismissed
Categorical

HIGH CARDINALITY
MISSING

Distinct	507
Distinct (%)	5.6%
Missing	184357
Missing (%)	95.3%
Memory size	1.5 MiB

SK Raina	162
RG Sharma	159
RV Uthappa	155
V Kohli	145
S Dhawan	143
Other values (502)	8283

Common Values
Overview

Value	Count	Frequency (%)
SK Raina	162	0.1%
RG Sharma	159	0.1%
RV Uthappa	155	0.1%
V Kohli	145	0.1%
S Dhawan	143	0.1%
KD Karthik	140	0.1%
G Gambhir	136	0.1%
PA Patel	126	0.1%
SR Watson	121	0.1%
AM Rahane	121	0.1%
AT Rayudu	118	0.1%
DA Warner	114	0.1%
AB de Villiers	113	0.1%
CH Gayle	112	0.1%
Yuvraj Singh	111	0.1%
YK Pathan	110	0.1%
MS Dhoni	107	0.1%
BB McCullum	104	0.1%
KA Pollard	101	0.1%
MK Pandey	100	0.1%
V Sehwag	99	0.1%
M Vijay	99	0.1%
JH Kallis	85	< 0.1%
DR Smith	84	< 0.1%
SV Samson	82	< 0.1%
Other values (482)	6100	3.2%
(Missing)	184357	95.3%

Frequencies of value counts

Unique

Unique	91 ?
Unique (%)	1.0%

Histogram of lengths of the category

Length

Max length	20
Median length	3
Mean length	3.296948357
Min length	3

Overview of Unicode Properties

Unique unicode characters	54
Unique unicode categories	4 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	372631	58.4%
a	193988	30.4%
	9481	1.5%
i	4044	0.6%
h	3968	0.6%
r	3717	0.6%
e	3412	0.5%
S	3358	0.5%
l	3039	0.5%
A	2183	0.3%
R	2176	0.3%
M	2170	0.3%
s	2110	0.3%
K	1996	0.3%
t	1982	0.3%
o	1919	0.3%
P	1871	0.3%
d	1781	0.3%
u	1731	0.3%
D	1587	0.2%
y	1473	0.2%
m	1446	0.2%
J	1274	0.2%
V	1097	0.2%
G	1086	0.2%
Other values (29)	12123	1.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	602596	94.5%
Uppercase Letter	25543	4.0%
Space Separator	9481	1.5%
Dash Punctuation	23	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	372631	61.8%
a	193988	32.2%
i	4044	0.7%
h	3968	0.7%
r	3717	0.6%
e	3412	0.6%
l	3039	0.5%
s	2110	0.4%
t	1982	0.3%
o	1919	0.3%
d	1781	0.3%
u	1731	0.3%
y	1473	0.2%
m	1446	0.2%
g	987	0.2%
w	870	0.1%
k	808	0.1%
p	603	0.1%
j	526	0.1%
v	467	0.1%
c	448	0.1%
b	389	0.1%
x	80	< 0.1%
f	74	< 0.1%
z	60	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	3358	13.1%
A	2183	8.5%
R	2176	8.5%
M	2170	8.5%
K	1996	7.8%
P	1871	7.3%
D	1587	6.2%
J	1274	5.0%
V	1097	4.3%
G	1086	4.3%
B	1080	4.2%
C	1052	4.1%
H	885	3.5%
T	768	3.0%
L	527	2.1%
W	513	2.0%
N	485	1.9%
Y	409	1.6%
F	222	0.9%
U	221	0.9%
E	205	0.8%
I	178	0.7%
O	119	0.5%
Q	61	0.2%
Z	19	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	9481	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	628139	98.5%
Common	9504	1.5%

Most frequent Latin characters

Value	Count	Frequency (%)
n	372631	59.3%
a	193988	30.9%
i	4044	0.6%
h	3968	0.6%
r	3717	0.6%
e	3412	0.5%
S	3358	0.5%
l	3039	0.5%
A	2183	0.3%
R	2176	0.3%
M	2170	0.3%
s	2110	0.3%
K	1996	0.3%
t	1982	0.3%
o	1919	0.3%
P	1871	0.3%
d	1781	0.3%
u	1731	0.3%
D	1587	0.3%
y	1473	0.2%
m	1446	0.2%
J	1274	0.2%
V	1097	0.2%
G	1086	0.2%
B	1080	0.2%
Other values (27)	11020	1.8%

Most frequent Common characters

Value	Count	Frequency (%)
	9481	99.8%
-	23	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	637643	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	372631	58.4%
a	193988	30.4%
	9481	1.5%
i	4044	0.6%
h	3968	0.6%
r	3717	0.6%
e	3412	0.5%
S	3358	0.5%
l	3039	0.5%
A	2183	0.3%
R	2176	0.3%
M	2170	0.3%
s	2110	0.3%
K	1996	0.3%
t	1982	0.3%
o	1919	0.3%
P	1871	0.3%
d	1781	0.3%
u	1731	0.3%
D	1587	0.2%
y	1473	0.2%
m	1446	0.2%
J	1274	0.2%
V	1097	0.2%
G	1086	0.2%
Other values (29)	12123	1.9%

dismissal_kind
Categorical

MISSING

Distinct	9
Distinct (%)	0.1%
Missing	184357
Missing (%)	95.3%
Memory size	1.5 MiB

caught	5393
bowled	1710
run out	856
lbw	572
stumped	279
Other values (4)	237

Value	Count	Frequency (%)
caught	5393	2.8%
bowled	1710	0.9%
run out	856	0.4%
lbw	572	0.3%
stumped	279	0.1%
caught and bowled	211	0.1%
retired hurt	12	< 0.1%
hit wicket	12	< 0.1%
obstructing the field	2	< 0.1%
(Missing)	184357	95.3%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	21
Median length	3
Mean length	3.150105479
Min length	3

Overview of Unicode Properties

Unique unicode characters	21
Unique unicode categories	2 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	369783	60.7%
a	190172	31.2%
u	7609	1.2%
t	6793	1.1%
h	5630	0.9%
c	5618	0.9%
g	5606	0.9%
o	2779	0.5%
w	2505	0.4%
b	2495	0.4%
l	2495	0.4%
d	2425	0.4%
e	2240	0.4%
	1306	0.2%
r	894	0.1%
s	281	< 0.1%
m	279	< 0.1%
p	279	< 0.1%
i	40	< 0.1%
k	12	< 0.1%
f	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	607937	99.8%
Space Separator	1306	0.2%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	369783	60.8%
a	190172	31.3%
u	7609	1.3%
t	6793	1.1%
h	5630	0.9%
c	5618	0.9%
g	5606	0.9%
o	2779	0.5%
w	2505	0.4%
b	2495	0.4%
l	2495	0.4%
d	2425	0.4%
e	2240	0.4%
r	894	0.1%
s	281	< 0.1%
m	279	< 0.1%
p	279	< 0.1%
i	40	< 0.1%
k	12	< 0.1%
f	2	< 0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	1306	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	607937	99.8%
Common	1306	0.2%

Most frequent Latin characters

Value	Count	Frequency (%)
n	369783	60.8%
a	190172	31.3%
u	7609	1.3%
t	6793	1.1%
h	5630	0.9%
c	5618	0.9%
g	5606	0.9%
o	2779	0.5%
w	2505	0.4%
b	2495	0.4%
l	2495	0.4%
d	2425	0.4%
e	2240	0.4%
r	894	0.1%
s	281	< 0.1%
m	279	< 0.1%
p	279	< 0.1%
i	40	< 0.1%
k	12	< 0.1%
f	2	< 0.1%

Most frequent Common characters

Value	Count	Frequency (%)
	1306	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	609243	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	369783	60.7%
a	190172	31.2%
u	7609	1.2%
t	6793	1.1%
h	5630	0.9%
c	5618	0.9%
g	5606	0.9%
o	2779	0.5%
w	2505	0.4%
b	2495	0.4%
l	2495	0.4%
d	2425	0.4%
e	2240	0.4%
	1306	0.2%
r	894	0.1%
s	281	< 0.1%
m	279	< 0.1%
p	279	< 0.1%
i	40	< 0.1%
k	12	< 0.1%
f	2	< 0.1%

fielder
Categorical

HIGH CARDINALITY
MISSING

Distinct	507
Distinct (%)	7.8%
Missing	186906
Missing (%)	96.6%
Memory size	1.5 MiB

MS Dhoni	159
KD Karthik	152
RV Uthappa	125
AB de Villiers	117
SK Raina	115
Other values (502)	5830

Common Values
Overview

Value	Count	Frequency (%)
MS Dhoni	159	0.1%
KD Karthik	152	0.1%
RV Uthappa	125	0.1%
AB de Villiers	117	0.1%
SK Raina	115	0.1%
PA Patel	97	0.1%
RG Sharma	93	< 0.1%
V Kohli	90	< 0.1%
KA Pollard	85	< 0.1%
WP Saha	84	< 0.1%
NV Ojha	82	< 0.1%
RA Jadeja	80	< 0.1%
MK Pandey	78	< 0.1%
DJ Bravo	78	< 0.1%
AC Gilchrist	75	< 0.1%
S Dhawan	74	< 0.1%
AM Rahane	66	< 0.1%
AT Rayudu	65	< 0.1%
DA Warner	64	< 0.1%
KC Sangakkara	58	< 0.1%
SV Samson	58	< 0.1%
DA Miller	53	< 0.1%
SPD Smith	51	< 0.1%
YK Pathan	51	< 0.1%
BB McCullum	50	< 0.1%
Other values (482)	4398	2.3%
(Missing)	186906	96.6%

Frequencies of value counts

Unique

Unique	97 ?
Unique (%)	1.5%

Histogram of lengths of the category

Length

Max length	21
Median length	3
Mean length	3.217193026
Min length	3

Overview of Unicode Properties

Unique unicode characters	55
Unique unicode categories	6 ?
Unique unicode scripts	2 ?
Unique unicode blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

Value	Count	Frequency (%)
n	376561	60.5%
a	193968	31.2%
	6931	1.1%
i	3059	0.5%
h	2995	0.5%
r	2696	0.4%
e	2443	0.4%
S	2368	0.4%
l	2173	0.3%
K	1604	0.3%
M	1568	0.3%
t	1563	0.3%
A	1542	0.2%
s	1527	0.2%
R	1496	0.2%
o	1441	0.2%
P	1381	0.2%
d	1375	0.2%
u	1252	0.2%
D	1244	0.2%
m	971	0.2%
J	917	0.1%
B	848	0.1%
y	842	0.1%
V	795	0.1%
Other values (30)	8658	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	596869	95.9%
Uppercase Letter	18254	2.9%
Space Separator	6931	1.1%
Open Punctuation	76	< 0.1%
Close Punctuation	76	< 0.1%
Dash Punctuation	12	< 0.1%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
n	376561	63.1%
a	193968	32.5%
i	3059	0.5%
h	2995	0.5%
r	2696	0.5%
e	2443	0.4%
l	2173	0.4%
t	1563	0.3%
s	1527	0.3%
o	1441	0.2%
d	1375	0.2%
u	1252	0.2%
m	971	0.2%
y	842	0.1%
k	748	0.1%
g	628	0.1%
w	592	0.1%
p	439	0.1%
j	390	0.1%
v	386	0.1%
b	327	0.1%
c	316	0.1%
f	57	< 0.1%
q	44	< 0.1%
z	40	< 0.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
S	2368	13.0%
K	1604	8.8%
M	1568	8.6%
A	1542	8.4%
R	1496	8.2%
P	1381	7.6%
D	1244	6.8%
J	917	5.0%
B	848	4.6%
V	795	4.4%
C	660	3.6%
G	592	3.2%
H	581	3.2%
T	547	3.0%
W	364	2.0%
N	341	1.9%
L	324	1.8%
Y	296	1.6%
U	207	1.1%
F	138	0.8%
I	132	0.7%
E	120	0.7%
O	118	0.6%
Q	46	0.3%
Z	25	0.1%

Most frequent Space Separator characters

Value	Count	Frequency (%)
	6931	100.0%

Most frequent Open Punctuation characters

Value	Count	Frequency (%)
(	76	100.0%

Most frequent Close Punctuation characters

Value	Count	Frequency (%)
)	76	100.0%

Most frequent Dash Punctuation characters

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	615123	98.9%
Common	7095	1.1%

Most frequent Latin characters

Value	Count	Frequency (%)
n	376561	61.2%
a	193968	31.5%
i	3059	0.5%
h	2995	0.5%
r	2696	0.4%
e	2443	0.4%
S	2368	0.4%
l	2173	0.4%
K	1604	0.3%
M	1568	0.3%
t	1563	0.3%
A	1542	0.3%
s	1527	0.2%
R	1496	0.2%
o	1441	0.2%
P	1381	0.2%
d	1375	0.2%
u	1252	0.2%
D	1244	0.2%
m	971	0.2%
J	917	0.1%
B	848	0.1%
y	842	0.1%
V	795	0.1%
k	748	0.1%
Other values (26)	7746	1.3%

Most frequent Common characters

Value	Count	Frequency (%)
	6931	97.7%
(	76	1.1%
)	76	1.1%
-	12	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	622218	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
n	376561	60.5%
a	193968	31.2%
	6931	1.1%
i	3059	0.5%
h	2995	0.5%
r	2696	0.4%
e	2443	0.4%
S	2368	0.4%
l	2173	0.3%
K	1604	0.3%
M	1568	0.3%
t	1563	0.3%
A	1542	0.2%
s	1527	0.2%
R	1496	0.2%
o	1441	0.2%
P	1381	0.2%
d	1375	0.2%
u	1252	0.2%
D	1244	0.2%
m	971	0.2%
J	917	0.1%
B	848	0.1%
y	842	0.1%
V	795	0.1%
Other values (30)	8658	1.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	match_id	inning	batting_team	bowling_team	over	ball	batsman	non_striker	bowler	wide_runs	legbye_runs	noball_runs	batsman_runs	extra_runs	total_runs	player_dismissed	dismissal_kind	fielder
0	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	1	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN
1	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	2	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN
2	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	3	DA Warner	S Dhawan	TS Mills	0	0	0	4	0	4	NaN	NaN	NaN
3	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	4	DA Warner	S Dhawan	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN
4	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	5	DA Warner	S Dhawan	TS Mills	2	0	0	0	2	2	NaN	NaN	NaN
5	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	6	S Dhawan	DA Warner	TS Mills	0	0	0	0	0	0	NaN	NaN	NaN
6	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	1	7	S Dhawan	DA Warner	TS Mills	0	1	0	0	1	1	NaN	NaN	NaN
7	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	1	S Dhawan	DA Warner	A Choudhary	0	0	0	1	0	1	NaN	NaN	NaN
8	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	2	DA Warner	S Dhawan	A Choudhary	0	0	0	4	0	4	NaN	NaN	NaN
9	1	1	Sunrisers Hyderabad	Royal Challengers Bangalore	2	3	DA Warner	S Dhawan	A Choudhary	0	0	1	0	1	1	NaN	NaN	NaN

Last rows

	match_id	inning	batting_team	bowling_team	over	ball	batsman	non_striker	bowler	batsman_runs	total_runs	player_dismissed	dismissal_kind	fielder
193394	1237181	2	MI	DC	18	1	KA Pollard	Ishan Kishan	K Rabada	0	0	KA Pollard	bowled	NaN
193395	1237181	2	MI	DC	18	2	HH Pandya	Ishan Kishan	K Rabada	1	1	NaN	NaN	NaN
193396	1237181	2	MI	DC	18	3	Ishan Kishan	HH Pandya	K Rabada	4	4	NaN	NaN	NaN
193397	1237181	2	MI	DC	18	4	Ishan Kishan	HH Pandya	K Rabada	1	1	NaN	NaN	NaN
193398	1237181	2	MI	DC	18	5	HH Pandya	Ishan Kishan	K Rabada	0	0	NaN	NaN	NaN
193399	1237181	2	MI	DC	18	6	HH Pandya	Ishan Kishan	K Rabada	1	1	NaN	NaN	NaN
193400	1237181	2	MI	DC	19	1	HH Pandya	Ishan Kishan	Anrich Nortje	1	1	NaN	NaN	NaN
193401	1237181	2	MI	DC	19	2	Ishan Kishan	HH Pandya	Anrich Nortje	1	1	NaN	NaN	NaN
193402	1237181	2	MI	DC	19	3	HH Pandya	Ishan Kishan	Anrich Nortje	0	0	HH Pandya	caught	AM Rahane
193403	1237181	2	MI	DC	19	4	KH Pandya	Ishan Kishan	Anrich Nortje	1	1	NaN	NaN	NaN

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most frequent Space Separator characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Lowercase Letter characters

Most frequent Dash Punctuation characters

Most frequent Open Punctuation characters

Most frequent Decimal Number characters

Most frequent Close Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Lowercase Letter characters

Most frequent Uppercase Letter characters

Most frequent Space Separator characters

Most frequent Dash Punctuation characters

Most occurring scripts

Most frequent Latin characters

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Lowercase Letter characters

Most frequent Space Separator characters